well, it's compute optimal for some inference setups, I think that's the idea; it's not optimal for training though
SYSTEMS
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Modeling Different Coprocessors with Varying Instruction Sets
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another layer of the onion 🙂 maybe can you model it like having different kinds of coprocessors with different instruction sets / reliability rates
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Generative AI Accelerates Metaverse Robotics and Synthetic Biology
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Discover how #GenerativeAI is set to accelerate #technologies from the #metaverse to #robotics and #synthetic #biology. Explore the #transformative potential of generative #AI in revolutionizing both industry and everyday life.
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Qdrant Hybrid Cloud Support for Enterprise Vector Storage
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Qdrant Hybrid Cloud Support We’re really excited to have day-one support for @qdrant_engine 's new hybrid cloud offering, which enables enterprises to host a vectorstore on their preferred infrastructure while still managing it through the Qdrant Cloud Console. Check out
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Standalone 5G: Game Changer for Edge Computing Infrastructure
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Yes standalone 5G will be a game changer for the edge!
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Debugging Systems: Adding Permanent Metrics and Logging
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When debugging an opaque problem in a system, a nice strategy is to just focus on adding permanent (rather than temporary) metrics or logging to make the problem obvious. Often makes it easy to solve not just the specific issue but also a whole class of potential related issues.
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Deterministic Attention Heads Improve AI Model Capability
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I assure that I would be a lot more capable if I had more deterministic attention heads operating on a larger parameter space
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Computational Operators vs Causal Agency: Foundational Debate
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don’t be silly, a simple superposition of all computable operators seems less plausible to you than the spontaneous formation of causal agency as a first operation?
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Transcendental Collective Agency and Rational Self-Instantiation
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An aspect that Aquinas seems to see but which I missed him arguing well is that if a possible and desirable transcendental collective agency is likely to become rationally apparent to collectives of agents that can enact it, it will probably instantiate itself.
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Scalable streaming Transformers for infinite context with bounded resources
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Scalability to infinitely long context: Processes extremely long inputs in a streaming fashion, overcoming limitations of standard Transformers. Bounded memory and compute resources: Achieves high compression ratios while maintaining performance, super cost-effective. Who